AI Backend engineering Intern
First seen by Alion on Aug 27, 2026.
About PGAGI:
We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.
About the Role
We are at the forefront of building advanced AI systems — from fully autonomous agents that power intelligent customer interactions, to data analysis tools that deliver actionable business insights. This internship combines hands-on AI/ML engineering with robust backend development, giving you a complete picture of how production-grade AI systems are built, deployed, and scaled.
You will work across the full stack: designing and fine-tuning AI models on one end, and architecting the APIs, databases, and server-side infrastructure that bring those models to life on the other.
Key Responsibilities
AI / ML ENGINEERING
Design, experiment with, and fine-tune large language models (LLMs) and NLP pipelines for real-world use cases.
Develop and iterate on prompt engineering strategies to optimise model performance and output quality.
Integrate and deploy models using Hugging Face and OpenAI platforms; evaluate open-source alternatives.
Build deep learning workflows including training, evaluation, and continuous improvement loops.
Collaborate on data collection, preprocessing, and feature engineering for ML pipelines.
BACKEND ENGINEERING
Architect and develop scalable RESTful APIs and GraphQL endpoints using Node.js / FastAPI / Express.
Build and maintain full-stack features using Next.js (App Router), integrating server-side rendering, API routes, and React components.
Design and manage relational and NoSQL databases (PostgreSQL, MongoDB, or equivalent); write efficient queries and manage schema migrations.
Implement authentication, authorisation, and security best practices (JWT, OAuth 2.0, role-based access control).
Containerise services with Docker and contribute to CI/CD pipelines for reliable, automated deployments.
Integrate AI/ML model inference endpoints into backend services, handling async processing, queuing, and latency optimisation.
Write clean, well-tested, and well-documented backend code; participate actively in code reviews.
VERSION CONTROL & COLLABORATION
Use Git and GitHub for all version control workflows — branching strategies, pull requests, and code reviews.
Contribute to technical documentation, architecture decision records, and internal knowledge bases.
Duration & Compensation
Duration: 6 Months
Stipend: Base ₹8,000/month — up to ₹15,000/month based on performance
Post-Internship: Full-time opportunity as AI/ML Engineer (₹6–8 LPA) based on performance
Perks & Benefits
Hands-on experience shipping real AI products used by actual customers.
Mentorship from senior engineers and industry experts in AI/ML and backend development.
Exposure to the full development lifecycle — from model training to production deployment.
Collaborative, innovative, and flexible work environment.
Accelerated growth path with a clear route to a full-time engineering role.
How to Apply
Interested candidates are invited to submit their resume and complete the assignment using
the link : https://pgagi.in/jobs/28df1e98-f0c3-4d58-9509-d5b1a4ea9754
Shortlisted candidates will be contacted for an interview.
Selection Process
Initial Screening: We'll review your application for evidence of your skills, experience, and a strong foundation in AI.
Task Assignment: Candidates need to submit assignment which is already being attached in careers page , designed to assess your practical skills.
Performance Review: Our experts will evaluate your task submission, with excellence in this stage being crucial for further consideration.
Interview: Impressive task performers will be invited for an interview to discuss their potential contribution to our team.
Onboarding: Successful candidates will join our team, with exciting projects ahead
Requirements
MUST-HAVE SKILLS
Strong proficiency in Python for AI/ML development and scripting.
Solid understanding of JavaScript / TypeScript; experience with Node.js and Next.js (or a strong willingness to learn quickly).
Familiarity with REST API design principles and at least one backend framework (Express, FastAPI, Django, etc.).
Working knowledge of at least one database system (PostgreSQL, MySQL, MongoDB).
Experience with Git and GitHub version control workflows.
Exposure to AI/ML platforms such as Hugging Face and OpenAI.
Understanding of prompt engineering concepts and the model fine-tuning process.
GOOD TO HAVE
Hands-on experience with Next.js App Router, React Server Components, or similar modern full-stack frameworks.
Familiarity with Docker, basic DevOps concepts, or cloud platforms (AWS, GCP, or Azure).
Experience with message queues (Redis, RabbitMQ) or background task processing.
Knowledge of LLM orchestration tools such as LangChain or LlamaIndex.
SOFT SKILLS & MINDSET
Strong problem-solving instincts and a genuine curiosity about AI technology.
Ability to own tasks end-to-end and communicate progress clearly.
Comfortable working in a fast-moving environment where requirements evolve.
A growth mindset — eager to learn, receive feedback, and level up continuously.
TECH YOU'LL WORK WITH
Python
Next.js
Node.js
FastAPI
LLMs / NLP
PostgreSQL
React
Docker
HuggingFace
OpenAI API
GitHub
REST / GraphQL
Apply now to embark on a transformative career journey with PGAGI, where innovation and talent converge!
#artificialintelligence #Machinelearning #AI #AIML #LLM #FastAPI #NLP #openAI #AImodels #AIMLInternship #AIintern #Internship #aimlgraduate #Python
Skills
Large Language Models (LLM) tuning, Retrieval Augmented Generation (RAG), Python, Data Structures